DATA ENGINEER - MATILLION (HYBRID)
Portuguese company hires for hybrid work
Working Model:Hybrid / 60% Remote and 40% Presential
Location:Lisbon Portugal / Candidates for this position must already be located in Portugal
Language Requirements:Fluent Portuguese / English B2
Seniority:more than 5 years
Instructions: Please send your CVs in English and make sure to include all skills and experience that match the requirements of the opportunity. This will significantly increase your chances of success.
We are looking for a talented Data Engineer with Matillion skills to join our team!
General Expertise
- Strong critical thinking and analytical skills to work with complex datasets combining technical tools with an understanding of the business context.
- In-depth and broad knowledge of data domains backed by industry experience.
- Effective communication skills including documenting design decisions build and test procedures and maintenance processes.
- Confident presentation skills able to explain technical concepts to non-technical stakeholders.
- Act as a technical lead: coach and mentor data engineers promote best practices remove technical roadblocks during project delivery and support Run & Support teams with critical issues and root cause analysis (RCA).
Communication & Collaboration
- Clear and proactive communication.
- Strong documentation skills (SDD/TDD knowledge).
- Adherence to core standards and tool-specific guidelines.
- Collaborative mindset and ability to work across teams.
- Team management experience.
- Understanding of project finances and budgeting.
- Ability to estimate design build and implement data pipelines based on business requirements and use cases.
Technical Skills /Must be clearly listed on your CV
Databases:
Data Warehouses:
Cloud Technologies:
- Cloud architecture and services
Integration & ETL/ELT Tools:
Security & Compliance:
- Authorization & authentication (Basic KeyPair Token etc.)
- Secure data transmission (encryption etc.)
- SoX controls audit and compliance
- GDPR / SPI / PI data handling
- Data retention and archiving
Advanced Technologies:
- Artificial intelligence & machine learning
- Automation (RPA)
- Analytics & business intelligence
Development & DevOps:
- Coding languages: Python NodeJS etc.
- User interface technologies: HTML JavaScript etc.
- DevOps practices and tools
Documentation:
- SDD (Solution Design Document) / TDD (Technical Design Document) knowledge
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